Contents

Busse Johannes s-jbusse, 123 45 67

Aufgabe 1: Jobs

Hier die Jobs

Aufgabe 2: Bildschirmfoto

Foto

Aufgabe 3

Aufgabe 4

So geht ein Glossar: siehe https://jupyterbook.org/content/content-blocks.html#glossaries! Z.B.:

Term one

An indented explanation of term 1

A second term

An indented explanation of term2

Aufgabe 5

print(6*7)

import pandas as pd
meinedatei = "./Statur einer Person-41-records-20211111_0637-comma_separated.csv"
df = pd.read_csv(meinedatei)
df.columns

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
/tmp/ipykernel_8101/264556496.py in <module>
      1 import pandas as pd
      2 meinedatei = "./Statur einer Person-41-records-20211111_0637-comma_separated.csv"
----> 3 df = pd.read_csv(meinedatei)
      4 df.columns

~/miniconda3/lib/python3.9/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
    309                     stacklevel=stacklevel,
    310                 )
--> 311             return func(*args, **kwargs)
    312 
    313         return wrapper

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    584     kwds.update(kwds_defaults)
    585 
--> 586     return _read(filepath_or_buffer, kwds)
    587 
    588 

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py in _read(filepath_or_buffer, kwds)
    480 
    481     # Create the parser.
--> 482     parser = TextFileReader(filepath_or_buffer, **kwds)
    483 
    484     if chunksize or iterator:

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py in __init__(self, f, engine, **kwds)
    809             self.options["has_index_names"] = kwds["has_index_names"]
    810 
--> 811         self._engine = self._make_engine(self.engine)
    812 
    813     def close(self):

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py in _make_engine(self, engine)
   1038             )
   1039         # error: Too many arguments for "ParserBase"
-> 1040         return mapping[engine](self.f, **self.options)  # type: ignore[call-arg]
   1041 
   1042     def _failover_to_python(self):

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py in __init__(self, src, **kwds)
     49 
     50         # open handles
---> 51         self._open_handles(src, kwds)
     52         assert self.handles is not None
     53 

~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/base_parser.py in _open_handles(self, src, kwds)
    220         Let the readers open IOHandles after they are done with their potential raises.
    221         """
--> 222         self.handles = get_handle(
    223             src,
    224             "r",

~/miniconda3/lib/python3.9/site-packages/pandas/io/common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    700         if ioargs.encoding and "b" not in ioargs.mode:
    701             # Encoding
--> 702             handle = open(
    703                 handle,
    704                 ioargs.mode,

FileNotFoundError: [Errno 2] No such file or directory: './Statur einer Person-41-records-20211111_0637-comma_separated.csv'

Nachweise

Deu

Künstliche Intelligenz und "Ethics Washing" - "Wir haben keine seriösen Experten für angewandte Ethik der KI". https://www.deutschlandfunk.de/kuenstliche-intelligenz-und-ethics-washing-wir-haben-keine.680.de.html?dram:article_id=498700.

LKS17

Konrad Lischka, Anita Klingel, and Bertelsmann Stiftung. Wenn Maschinen Menschen bewerten: Internationale Fallbeispiele für Prozesse algorithmischer Entscheidungsfindung ; Arbeitspapier. Impuls Algorithmenethik, 2017. doi:10.11586/2017025.

BundesverbandDWBVDWeV19

Bundesverband Digitale Wirtschaft (BVDW) e.V. Mensch, Moral, Maschine: Digitale Ethik, Algorithmen und künstliche Intelligenz. https://www.bvdw.org/fileadmin/bvdw/upload/dokumente/BVDW_Digitale_Ethik.pdf, February 2019.

NidaRumelinW20

Julian Nida-Rümelin and Nathalie Weidenfeld. Digitaler Humanismus: eine Ethik für das Zeitalter der Künstlichen Intelligenz. Number 31616 in Piper. Piper, München, ungekürzte taschenbuchausgabe edition, 2020. ISBN 978-3-492-31616-3.